Paris Ward
Impact in
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- Genomics, phytochemicals, and oxidative stress
- Glutathione Transferases and Polymorphisms
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
Papers in
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- Glutathione Transferases and Polymorphisms 1
- Oncology 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- N.O. Concha (2 shared papers)Jeff Yon (1 shared paper)Pamela A. Williams (1 shared paper)Jeffrey K. Kerns (1 shared paper)Thomas G. Davies (1 shared paper)James F. Callahan (1 shared paper)Anne Cleasby (1 shared paper)Caroline J. Richardson (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Gene (1 paper)Biochemistry (1 paper)ACS Medicinal Chemistry Letters (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Paris Ward
8 papers receiving 261 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 230
- Biological Psychiatry 7
- Toxicology 9
- Organic Chemistry 53
- Pharmacology 14
Countries citing papers authored by Paris Ward
This map shows the geographic impact of Paris Ward's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paris Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paris Ward more than expected).
Fields of papers citing papers by Paris Ward
This network shows the impact of papers produced by Paris Ward. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paris Ward. The network helps show where Paris Ward may publish in the future.
Co-authors
The 25 scholars most cited alongside Paris Ward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 202 | |
| 2 | 2003 | 24 | |
| 3 | 2010 | 24 | |
| 4 | 2019 | 5 | |
| 5 | 2012 | 5 | |
| 6 | 2011 | 3 | |
| 7 | Preferential enhancement of reverse dermal Arthus reaction by polyelectrolytes: in vivo and in vitro evidence for mediation by oxygen-derived radicals and their metabolites | 1986 | 1 |
| 8 | 2021 | 1 |
About Paris Ward
Paris Ward is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Epidemiology and Dermatology, having authored 8 papers that have together received 265 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), HIV Research and Treatment (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper), Animal Genetics and Reproduction (1 paper), Tendon Structure and Treatment (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Wound Healing and Treatments (1 paper). The work is most often cited by research in Molecular Biology (230 citations), Biological Psychiatry (7 citations), Toxicology (9 citations), Organic Chemistry (53 citations) and Pharmacology (14 citations). Paris Ward has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include N.O. Concha, Jeff Yon, Pamela A. Williams, Jeffrey K. Kerns, Thomas G. Davies, James F. Callahan, Anne Cleasby, Caroline J. Richardson, Ian J. Tickle and Hongwei Qi. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Gene, Biochemistry, ACS Medicinal Chemistry Letters and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.